Real-time 16K video coding on a GPU with complexity scalable BPC-PaCo

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The advent of new technologies such as high dynamic range or 8K screens has enhanced the quality of digital images but it has also increased the codecs’ computational demands to process such data. This paper presents a video codec that, while providing the same coding features and performance as those of JPEG2000, can process 16K video in real time using a consumer-grade GPU. This high throughput is achieved with a technique that introduces complexity scalability to a bitplane coding engine, which is the most computationally complex stage of the coding pipeline. The resulting codec can trade throughput for coding performance depending on the user’s needs. Experimental results suggest that our method can double the throughput achieved by CPU implementations of the recently approved High-Throughput JPEG2000 and by hardwired implementations of HEVC in a GPU.

论文关键词:High throughput image and video coding,GPU,CUDA,JPEG2000,HTJ2K

论文评审过程:Received 1 March 2021, Revised 2 September 2021, Accepted 11 September 2021, Available online 21 September 2021, Version of Record 23 September 2021.

论文官网地址:https://doi.org/10.1016/j.image.2021.116503